{"title":"Statistical Methods for Interpreting Spatial and Temporal Heterogeneity of Martian Tropical Water Ice Informed by Properties of Crater Ejecta Types","authors":"Jamie D. Riggs, Michelle R. Kirchoff","doi":"10.1029/2024EA003796","DOIUrl":null,"url":null,"abstract":"<p>The martian tropical water ice spatial and temporal distribution was characterized using impact crater ejecta type, location, size, and age in one of two epochs, <span></span><math>\n <semantics>\n <mrow>\n <mo>≤</mo>\n <mn>3.4</mn>\n </mrow>\n <annotation> ${\\le} 3.4$</annotation>\n </semantics></math> Ga and <span></span><math>\n <semantics>\n <mrow>\n <mo>></mo>\n <mn>3.4</mn>\n </mrow>\n <annotation> ${ >} 3.4$</annotation>\n </semantics></math> Ga, using statistical models designed for spatial and temporal correlation structures. The indicator thought to identify the presence of ice is craters with layered ejecta, while the indicator thought to identify no ice is craters with radial ejecta. These indicators imply the location (longitude and latitude) and, potentially, depth (crater diameter as a proxy) of ice, and when the ice was present. The spatial and temporal distribution of layered ejecta versus radial ejecta may inform on the geography and evolution of ice. A statistical spatial point analysis was conducted on a 54-sample data set (craters with diameters 2.77–10.00 km) for an equatorial region (<span></span><math>\n <semantics>\n <mrow>\n <mn>0</mn>\n <mo>°</mo>\n </mrow>\n <annotation> $0{}^{\\circ}$</annotation>\n </semantics></math> to <span></span><math>\n <semantics>\n <mrow>\n <mo>−</mo>\n <mn>30</mn>\n <mo>°</mo>\n </mrow>\n <annotation> ${-}30{}^{\\circ}$</annotation>\n </semantics></math> S, and <span></span><math>\n <semantics>\n <mrow>\n <mn>10</mn>\n <mo>°</mo>\n </mrow>\n <annotation> $10{}^{\\circ}$</annotation>\n </semantics></math> E to <span></span><math>\n <semantics>\n <mrow>\n <mn>340</mn>\n <mo>°</mo>\n </mrow>\n <annotation> $340{}^{\\circ}$</annotation>\n </semantics></math> W. The analysis shows the spatial and temporal distribution of tropical ice in the study region is most likely random.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"11 11","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA003796","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earth and Space Science","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024EA003796","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
The martian tropical water ice spatial and temporal distribution was characterized using impact crater ejecta type, location, size, and age in one of two epochs, Ga and Ga, using statistical models designed for spatial and temporal correlation structures. The indicator thought to identify the presence of ice is craters with layered ejecta, while the indicator thought to identify no ice is craters with radial ejecta. These indicators imply the location (longitude and latitude) and, potentially, depth (crater diameter as a proxy) of ice, and when the ice was present. The spatial and temporal distribution of layered ejecta versus radial ejecta may inform on the geography and evolution of ice. A statistical spatial point analysis was conducted on a 54-sample data set (craters with diameters 2.77–10.00 km) for an equatorial region ( to S, and E to W. The analysis shows the spatial and temporal distribution of tropical ice in the study region is most likely random.
期刊介绍:
Marking AGU’s second new open access journal in the last 12 months, Earth and Space Science is the only journal that reflects the expansive range of science represented by AGU’s 62,000 members, including all of the Earth, planetary, and space sciences, and related fields in environmental science, geoengineering, space engineering, and biogeochemistry.